The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-10-09"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "36876248 (up from 36515563 yesterday: 0.99 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "1068040 (up from 1061877 yesterday: 0.58 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 6374458

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 2.9



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 7663293 57420 0.75 939360 213752 990 0.47 2.79
India 6979423 73272 1.06 1671409 107416 926 0.87 1.54
Brazil 5055888 27444 0.55 560705 149639 682 0.46 2.96
Russia 1265572 11969 0.95 178617 22137 198 0.90 1.75
Colombia 894300 8121 0.92 143829 27495 315 1.16 3.07
Argentina 871468 15099 1.76 257810 23225 515 2.27 2.67
Spain 861112 12788 1.51 221072 32929 241 0.74 3.82
Peru 838614 2952 0.35 88516 33098 89 0.27 3.95
Mexico 810020 5532 0.69 121066 83497 401 0.48 10.31
France 732434 20730 2.91 265013 32601 62 0.19 4.45
South Africa 688352 1461 0.21 30725 17547 139 0.80 2.55
United Kingdom 578390 13888 2.46 189974 42769 87 0.20 7.39
Iran 492378 4142 0.85 76180 28098 210 0.75 5.71
Chile 477769 1753 0.37 34942 13220 53 0.40 2.77
Iraq 397780 3214 0.81 86090 9735 52 0.54 2.45
Bangladesh 375870 1278 0.34 30065 5477 17 0.31 1.46
Italy 343770 5372 1.59 48838 36111 28 0.08 10.50
Saudi Arabia 338539 407 0.12 9819 4996 24 0.48 1.48
Philippines 334770 2901 0.87 55244 6152 83 1.37 1.84
Turkey 332382 1629 0.49 32572 8722 55 0.63 2.62
Indonesia 324658 4094 1.28 88139 11677 97 0.84 3.60
Germany 320495 4554 1.44 49248 9599 54 0.57 3.00
Pakistan 318266 671 0.21 13235 6558 6 0.09 2.06
Israel 287858 2522 0.88 108787 1886 22 1.18 0.66
Ukraine 257204 5961 2.37 83501 4899 92 1.91 1.90
Canada 180625 2895 1.63 36572 9638 29 0.30 5.34
Netherlands 167348 6016 3.73 73003 6601 14 0.21 3.94
Belgium 148981 5385 3.75 49332 10151 25 0.25 6.81
Romania 148886 3186 2.19 38669 5299 52 0.99 3.56
Morocco 146398 3445 2.41 49134 2530 44 1.77 1.73
Ecuador 145848 803 0.55 21719 12175 34 0.28 8.35
Bolivia 138226 257 0.19 8175 8262 34 0.41 5.98
Qatar 127600 206 0.16 4683 219 1 0.46 0.17
Panama 118841 787 0.67 13962 2474 11 0.45 2.08
Dominican Republic 117457 585 0.50 10725 2165 2 0.09 1.84
Poland 116338 4739 4.25 39010 2919 52 1.81 2.51
Kuwait 110076 635 0.58 11548 649 7 1.09 0.59
Czechia 109374 8617 8.55 63112 905 36 4.14 0.83
Kazakhstan 108663 102 0.09 1464 1746 0 0.00 1.61
Egypt 104262 106 0.10 2490 6029 12 0.20 5.78
Oman 104129 0 0.00 12376 1009 0 0.00 0.97
United Arab Emirates 104004 1075 1.04 20571 442 4 0.91 0.42
Nepal 100676 2059 2.09 39083 600 10 1.69 0.60
Sweden 98451 919 0.94 10214 5894 2 0.03 5.99
Guatemala 96935 455 0.47 12591 3356 9 0.27 3.46
China 90751 23 0.03 440 4739 0 0.00 5.22
Japan 88267 588 0.67 10206 1623 6 0.37 1.84
Costa Rica 86053 1225 1.44 23679 1055 15 1.44 1.23
Portugal 83928 1394 1.69 16752 2062 12 0.59 2.46
Ethiopia 82662 865 1.06 15147 1271 9 0.71 1.54
Honduras 82552 880 1.08 11941 2492 15 0.61 3.02
Belarus 82471 489 0.60 7241 885 5 0.57 1.07
Venezuela 81696 677 0.84 16522 684 6 0.88 0.84
Bahrain 74860 438 0.59 10981 271 7 2.65 0.36
Moldova 60833 918 1.53 15185 1442 18 1.26 2.37
Switzerland 60368 1487 2.53 11085 2088 1 0.05 3.46
Uzbekistan 60342 316 0.53 10089 498 2 0.40 0.83
Nigeria 59992 151 0.25 3036 1113 0 0.00 1.86
Singapore 57859 10 0.02 316 27 0 0.00 0.05
Armenia 55087 614 1.13 8177 1010 6 0.60 1.83
Austria 53188 1131 2.17 16527 842 4 0.48 1.58
Algeria 52804 146 0.28 3391 1789 6 0.34 3.39
Lebanon 51170 1426 2.87 23652 450 11 2.51 0.88
Kyrgyzstan 48617 275 0.57 3373 1077 4 0.37 2.22
Paraguay 48275 959 2.03 16148 1045 33 3.26 2.16
Ghana 46987 40 0.09 1227 306 0 0.00 0.65
West Bank and Gaza 43664 408 0.94 9263 367 8 2.23 0.84
Azerbaijan 41519 215 0.52 2625 605 2 0.33 1.46
Libya 41368 1076 2.67 14930 621 5 0.81 1.50
Ireland 40703 617 1.54 8432 1821 4 0.22 4.47
Kenya 40620 442 1.10 3896 755 4 0.53 1.86
Afghanistan 39693 77 0.19 810 1472 2 0.14 3.71
Hungary 35222 1176 3.45 19111 913 15 1.67 2.59
Serbia 34517 173 0.50 1760 761 1 0.13 2.20
Denmark 32131 483 1.53 9840 665 0 0.00 2.07
El Salvador 29951 109 0.37 2605 881 4 0.46 2.94
Bosnia and Herzegovina 29917 389 1.32 5020 926 13 1.42 3.10
Australia 27244 18 0.07 359 897 0 0.00 3.29
Tunisia 26899 0 0.00 18329 409 0 0.00 1.52
Korea, South 24548 72 0.29 1655 430 2 0.47 1.75
Burma 23906 1461 6.51 19285 566 31 5.79 2.37
Bulgaria 23871 612 2.63 5138 887 7 0.80 3.72
Jordan 22763 1246 5.79 18419 166 22 15.28 0.73
Greece 21772 391 1.83 7034 431 1 0.23 1.98
Cameroon 21203 0 0.00 832 423 0 0.00 2.00
North Macedonia 20163 386 1.95 3746 781 6 0.77 3.87
Cote d’Ivoire 20036 54 0.27 836 120 0 0.00 0.60
Croatia 19446 457 2.41 4933 313 3 0.97 1.61
Slovakia 16910 1184 7.53 10654 57 0 0.00 0.34
Madagascar 16676 22 0.13 705 237 2 0.85 1.42
Kosovo 15971 33 0.21 1032 638 0 0.00 3.99
Norway 15388 167 1.10 2619 275 0 0.00 1.79
Zambia 15339 38 0.25 1317 336 1 0.30 2.19
Senegal 15213 23 0.15 568 313 0 0.00 2.06
Albania 15066 167 1.12 2993 413 2 0.49 2.74
Malaysia 14722 354 2.46 4575 152 6 4.11 1.03
Sudan 13670 0 0.00 135 836 0 0.00 6.12
Montenegro 13348 344 2.65 5637 194 3 1.57 1.45
Namibia 11829 48 0.41 1622 127 0 0.00 1.07
Finland 11580 235 2.07 2722 346 0 0.00 2.99
Guinea 10954 53 0.49 723 68 0 0.00 0.62
Congo (Kinshasa) 10835 13 0.12 379 276 0 0.00 2.55
Maldives 10808 66 0.61 1240 34 0 0.00 0.31
Georgia 10752 527 5.15 7633 72 6 9.09 0.67
Tajikistan 10137 40 0.40 878 79 1 1.28 0.78

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 849076 3806 0.45 69585 16486 68 0.41 1.94 21488.95 417.24 1 in 47
Texas 812191 4437 0.55 107628 16871 104 0.62 2.08 28010.56 581.84 1 in 36
Florida 728921 2908 0.40 51261 15186 118 0.78 2.08 33938.45 707.06 1 in 29
New York 471696 1592 0.34 23644 33290 63 0.19 7.06 24247.28 1711.25 1 in 41
Georgia 329032 1625 0.50 26178 7348 54 0.74 2.23 30989.82 692.07 1 in 32
Illinois 316546 3117 0.99 44029 9191 32 0.35 2.90 24980.31 725.31 1 in 40
North Carolina 227431 2034 0.90 36458 3747 25 0.67 1.65 21684.70 357.26 1 in 46
Arizona 224084 683 0.31 11142 5746 3 0.05 2.56 29427.07 754.57 1 in 34
New Jersey 212013 865 0.41 13165 16164 3 0.02 7.62 23869.45 1819.82 1 in 42
Tennessee 211003 1556 0.74 30506 2732 27 1.00 1.29 30879.21 399.81 1 in 32
Pennsylvania 174329 1381 0.80 20807 8292 24 0.29 4.76 13617.34 647.71 1 in 73
Louisiana 170878 257 0.15 10595 5635 26 0.46 3.30 36757.49 1212.14 1 in 27
Ohio 166102 1840 1.12 23506 4994 11 0.22 3.01 14209.99 427.24 1 in 70
Alabama 163465 1490 0.92 20602 2653 16 0.61 1.62 33338.53 541.08 1 in 30
Virginia 156372 1102 0.71 17767 3341 16 0.48 2.14 18320.15 391.42 1 in 55
South Carolina 155676 921 0.60 19358 3530 16 0.46 2.27 30235.90 685.61 1 in 33
Michigan 147816 1323 0.90 20316 7200 7 0.10 4.87 14801.05 720.95 1 in 68
Wisconsin 144818 2988 2.11 47539 1440 16 1.12 0.99 24872.42 247.32 1 in 40
Missouri 141003 2016 1.45 29613 2397 129 5.69 1.70 22974.28 390.55 1 in 44
Massachusetts 137701 765 0.56 11119 9577 12 0.13 6.95 19814.51 1378.08 1 in 50
Indiana 131493 1816 1.40 21810 3761 19 0.51 2.86 19531.90 558.66 1 in 51
Maryland 130159 734 0.57 11097 3990 11 0.28 3.07 21529.26 659.98 1 in 46
Minnesota 109312 1390 1.29 21505 2174 14 0.65 1.99 19382.82 385.49 1 in 52
Mississippi 103681 862 0.84 11249 3080 6 0.20 2.97 34837.30 1034.89 1 in 29
Iowa 97881 1224 1.27 19042 1454 21 1.47 1.49 31023.40 460.85 1 in 32
Oklahoma 97088 1524 1.59 22521 1091 6 0.55 1.12 24535.94 275.72 1 in 41
Washington 92560 642 0.70 10958 2190 7 0.32 2.37 12155.13 287.59 1 in 82
Arkansas 91312 1167 1.29 17230 1530 27 1.80 1.68 30257.55 506.99 1 in 33
Nevada 84593 766 0.91 9497 1657 8 0.49 1.96 27463.87 537.96 1 in 36
Utah 83290 1343 1.64 21515 505 4 0.80 0.61 25979.75 157.52 1 in 38
Kentucky 78456 1001 1.29 18328 1242 8 0.65 1.58 17560.82 278.00 1 in 57
Colorado 76595 834 1.10 12865 2103 8 0.38 2.75 13300.66 365.18 1 in 75
Kansas 64714 1213 1.91 12589 771 24 3.21 1.19 22213.19 264.65 1 in 45
Connecticut 60038 290 0.49 4511 4530 3 0.07 7.55 16839.60 1270.58 1 in 59
Puerto Rico 52892 598 1.14 13208 720 5 0.70 1.36 16561.39 225.44 1 in 60
Nebraska 50059 0 0.00 9672 514 0 0.00 1.03 25878.20 265.71 1 in 39
Idaho 47088 662 1.43 10129 506 3 0.60 1.07 26275.83 282.36 1 in 38
Oregon 36526 410 1.14 6184 597 3 0.51 1.63 8660.09 141.55 1 in 115
New Mexico 32241 485 1.53 4891 902 3 0.33 2.80 15376.08 430.17 1 in 65
South Dakota 27215 774 2.93 9140 277 5 1.84 1.02 30763.27 313.11 1 in 33
Rhode Island 26294 249 0.96 2674 1130 3 0.27 4.30 24820.62 1066.68 1 in 40
North Dakota 26039 655 2.58 8809 321 11 3.55 1.23 34169.14 421.23 1 in 29
Delaware 21827 145 0.67 2461 651 0 0.00 2.98 22415.08 668.54 1 in 45
West Virginia 17707 374 2.16 4022 382 6 1.60 2.16 9907.97 213.75 1 in 101
Montana 17399 722 4.33 7528 206 9 4.57 1.18 16279.34 192.74 1 in 61
District of Columbia 15843 78 0.49 991 634 0 0.00 4.00 22448.49 898.34 1 in 45
Hawaii 13300 154 1.17 2083 166 2 1.22 1.25 9393.50 117.24 1 in 106
Alaska 9182 177 1.97 2538 60 0 0.00 0.65 12551.52 82.02 1 in 80
New Hampshire 8970 92 1.04 1109 450 2 0.45 5.02 6596.99 330.95 1 in 152
Wyoming 7335 243 3.43 2588 54 0 0.00 0.74 12673.67 93.30 1 in 79
Maine 5665 27 0.48 663 143 1 0.70 2.52 4214.36 106.38 1 in 237
Vermont 1846 8 0.44 140 58 0 0.00 3.14 2958.39 92.95 1 in 338

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 15736497 849076 5.40 2559311 69585 2.72 398269.1
2 Texas 6746030 812191 12.04 1301229 107628 8.27 232654.8
3 Florida 5518162 728921 13.21 479901 51261 10.68 256924.7
4 New York 11786740 471696 4.00 2075093 23644 1.14 605891.1
5 Georgia 3112629 329032 10.57 410677 26178 6.37 293162.4
6 Illinois 6180417 316546 5.12 1195363 44029 3.68 487729.2
7 North Carolina 3311285 227431 6.87 562265 36458 6.48 315718.8
8 Arizona 1543445 224084 14.52 181126 11142 6.15 202687.7
9 New Jersey 3878988 212013 5.47 587072 13165 2.24 436715.3
10 Tennessee 3116772 211003 6.77 513430 30506 5.94 456123.6
11 Pennsylvania 2169073 174329 8.04 287585 20807 7.24 169432.5
12 Louisiana 2450087 170878 6.97 303101 10595 3.50 527037.1
13 Ohio 3537962 166102 4.69 784857 23506 2.99 302671.9
14 Alabama 1196452 163465 13.66 157442 20602 13.09 244015.3
15 Virginia 2219510 156372 7.05 387887 17767 4.58 260032.2
16 South Carolina 1452568 155676 10.72 341164 19358 5.67 282122.5
17 Michigan 3965016 147816 3.73 679986 20316 2.99 397023.4
18 Wisconsin 1671293 144818 8.67 252881 47539 18.80 287043.7
19 Missouri 2000979 141003 7.05 810599 29613 3.65 326028.9
20 Massachusetts 4601434 137701 2.99 1336561 11119 0.83 662124.2
21 Indiana 1463436 131493 8.99 181998 21810 11.98 217378.0
22 Maryland 1707367 130159 7.62 202500 11097 5.48 282411.1
23 Minnesota 2256165 109312 4.85 464485 21505 4.63 400055.4
24 Mississippi 808336 103681 12.83 174904 11249 6.43 271604.7
25 Iowa 808801 97881 12.10 100770 19042 18.90 256349.6
26 Oklahoma 1321971 97088 7.34 267754 22521 8.41 334086.6
27 Washington 2016471 92560 4.59 311801 10958 3.51 264806.2
28 Arkansas 1111526 91312 8.22 245091 17230 7.03 368320.2
29 Nevada 730234 84593 11.58 73633 9497 12.90 237077.0
30 Utah 901048 83290 9.24 157311 21515 13.68 281054.2
31 Kentucky 1525264 78456 5.14 480032 18328 3.82 341400.1
32 Colorado 1496198 76595 5.12 329288 12865 3.91 259813.6
33 Kansas 560189 64714 11.55 85440 12589 14.73 192285.8
34 Connecticut 1796539 60038 3.34 374391 4511 1.20 503897.4
36 Nebraska 494467 50059 10.12 77892 9672 12.42 255616.7
37 Idaho 326789 47088 14.41 44267 10129 22.88 182353.3
38 Oregon 730671 36526 5.00 101249 6184 6.11 173237.7
39 New Mexico 973945 32241 3.31 128778 4891 3.80 464484.7
40 South Dakota 214153 27215 12.71 40449 9140 22.60 242074.1
41 Rhode Island 864638 26294 3.04 189530 2674 1.41 816188.2
42 North Dakota 670039 26039 3.89 119715 8809 7.36 879244.7
43 Delaware 304367 21827 7.17 35729 2461 6.89 312567.5
44 West Virginia 617623 17707 2.87 114490 4022 3.51 345591.6
45 Montana 386746 17399 4.50 88191 7528 8.54 361858.1
46 District of Columbia 422225 15843 3.75 75107 991 1.32 598265.1
47 Hawaii 443992 13300 3.00 174663 2083 1.19 313582.0
48 Alaska 493070 9182 1.86 74777 2538 3.39 674011.8
49 New Hampshire 482118 8970 1.86 88952 1109 1.25 354573.9
50 Wyoming 110511 7335 6.64 18204 2588 14.22 190944.8
51 Maine 491052 5665 1.15 126628 663 0.52 365308.5
52 Vermont 170439 1846 1.08 16340 140 0.86 273144.2

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 1493884 0 0 1212016 81.13 241986 39430 0 0 2.64
Andhra Pradesh 739719 0 0 684930 92.59 48661 6128 0 0 0.83
Karnataka 679356 0 0 552519 81.33 117143 9675 0 0 1.42
Tamil Nadu 640943 0 0 586454 91.50 44437 10052 0 0 1.57
Uttar Pradesh 427459 0 0 378662 88.58 42552 6245 0 0 1.46
Delhi 300833 0 0 272948 90.73 22232 5653 0 0 1.88
West Bengal 284030 0 0 249737 87.93 28854 5439 0 0 1.91
Kerala 258851 0 0 167256 64.61 90579 931 0 0 0.36
Odisha 244142 0 0 216984 88.88 26131 1027 0 0 0.42
Telangana 206644 0 0 179075 86.66 26368 1201 0 0 0.58
Bihar 192671 0 0 180357 93.61 11384 929 0 0 0.48
Assam 191397 0 0 159833 83.51 30767 794 0 0 0.41
Rajasthan 152605 0 0 129618 84.94 21382 1605 0 0 1.05
Gujarat 147950 0 0 128023 86.53 16386 3541 0 0 2.39
Madhya Pradesh 142022 0 0 122687 86.39 16788 2547 0 0 1.79
Haryana 138682 0 0 126267 91.05 10867 1548 0 0 1.12
Chhattisgarh 134612 0 0 106027 78.76 27427 1158 0 0 0.86
Punjab 121716 0 0 107200 88.07 10775 3741 0 0 3.07
Jharkhand 90486 0 0 80439 88.90 9272 775 0 0 0.86
Jammu and Kashmir 81793 0 0 69020 84.38 11482 1291 0 0 1.58
Uttarakhand 53359 0 0 44535 83.46 7849 702 0 0 1.32
Goa 37102 0 0 31902 85.98 4716 484 0 0 1.30
Puducherry 30539 0 0 25256 82.70 4727 556 0 0 1.82
Tripura 27756 0 0 23043 83.02 4389 301 0 0 1.08
Himachal Pradesh 16778 0 0 13583 80.96 2943 233 0 0 1.39
Chandigarh 12922 0 0 11344 87.79 1392 186 0 0 1.44
Manipur 12679 0 0 9719 76.65 2877 83 0 0 0.65
Arunachal Pradesh 11479 0 0 8679 75.61 2778 22 0 0 0.19
Meghalaya 7261 0 0 4832 66.55 2369 60 0 0 0.83
Nagaland 6736 0 0 5516 81.89 1149 12 0 0 0.18
Ladakh 4902 0 0 3550 72.42 1289 63 0 0 1.29
Andaman and Nicobar Islands 3952 0 0 3707 93.80 190 55 0 0 1.39
Sikkim 3246 0 0 2569 79.14 544 52 0 0 1.60
Dadra and Nagar Haveli and Daman and Diu 3129 0 0 2994 95.69 105 2 0 0 0.06
Mizoram 2150 0 0 1926 89.58 224 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
State Unassigned 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 2280488 110852 983 0.89 4.86 371 44 11128 16980 15.32
Piemonte 777967 37595 401 1.08 4.83 345 22 4310 4172 11.10
Emilia-Romagna 1268552 36914 276 0.75 2.91 226 14 5609 4493 12.17
Veneto 2037471 30504 595 1.99 1.50 208 21 5474 2209 7.24
Lazio 988395 19135 387 2.06 1.94 853 57 9186 966 5.05
Campania 664441 17233 769 4.67 2.59 576 63 9597 475 2.76
Toscana 816877 17095 483 2.91 2.09 140 30 5121 1173 6.86
Liguria 340129 14670 196 1.35 4.31 199 26 2275 1615 11.01
Puglia 444874 9116 249 2.81 2.05 300 23 3550 606 6.65
Sicilia 536684 8712 233 2.75 1.62 376 35 3901 333 3.82
Marche 263612 8399 49 0.59 3.19 37 3 1145 992 11.81
P.A. Trento 246109 6394 39 0.61 2.60 20 0 681 406 6.35
Friuli Venezia Giulia 443677 5290 146 2.84 1.19 23 6 1141 355 6.71
Abruzzo 218754 4886 103 2.15 2.23 100 7 1249 487 9.97
Sardegna 209088 4742 134 2.91 2.27 133 23 2569 161 3.40
P.A. Bolzano 189365 3888 85 2.24 2.05 35 2 797 292 7.51
Umbria 223791 3057 151 5.20 1.37 55 8 1000 87 2.85
Calabria 218391 2188 42 1.96 1.00 42 1 638 103 4.71
Valle d’Aosta 30804 1402 18 1.30 4.55 4 2 139 146 10.41
Basilicata 80332 997 22 2.26 1.24 35 0 448 35 3.51
Molise 47170 701 11 1.59 1.49 8 0 152 25 3.57

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 84094 1102 1.33 5936 21 0.36 7.06 9849.76 695.27 1 in 102
Ontario 60189 1276 2.17 3048 5 0.16 5.06 4091.20 207.18 1 in 244
Alberta 19995 277 1.40 283 0 0.00 1.42 4530.78 64.13 1 in 221
British Columbia 10185 119 1.18 245 0 0.00 2.41 1992.79 47.94 1 in 502
Manitoba 2428 84 3.58 30 3 11.11 1.24 1762.59 21.78 1 in 567
Saskatchewan 2034 22 1.09 24 0 0.00 1.18 1721.30 20.31 1 in 581
Nova Scotia 1089 0 0.00 65 0 0.00 5.97 1114.12 66.50 1 in 898
Newfoundland and Labrador 279 2 0.72 4 0 0.00 1.43 535.13 7.67 1 in 1869
New Brunswick 238 13 5.78 2 0 0.00 0.84 305.13 2.56 1 in 3277
Prince Edward Island 61 0 0.00 0 0 NaN 0.00 385.69 0.00 1 in 2593
Yukon 15 0 0.00 0 0 NaN 0.00 365.16 0.00 1 in 2739
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68139 4512 6.62
Hong Kong 5169 105 2.03
Guangdong 1852 8 0.43
Zhejiang 1283 1 0.08
Henan 1281 22 1.72
Shanghai 1038 7 0.67
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 948 13 1.37
Beijing 936 9 0.96
Jiangxi 935 1 0.11
Xinjiang 902 3 0.33
Shandong 832 7 0.84
Sichuan 718 3 0.42
Jiangsu 667 0 0.00
Chongqing 585 6 1.03
Shaanxi 428 3 0.70
Fujian 414 1 0.24
Hebei 365 6 1.64
Liaoning 275 2 0.73
Inner Mongolia 268 1 0.37
Guangxi 260 2 0.77
Tianjin 244 3 1.23
Yunnan 211 2 0.95
Shanxi 206 0 0.00
Hainan 171 6 3.51
Gansu 170 2 1.18
Jilin 157 2 1.27
Guizhou 147 2 1.36
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 23420.82 653.28 1 in 43
India 5212.41 80.22 1 in 192
Brazil 24156.18 714.95 1 in 41
Russia 8758.28 153.20 1 in 114
Colombia 18224.98 560.32 1 in 55
Argentina 19685.29 524.62 1 in 51
Spain 18455.04 705.72 1 in 54
Peru 26068.20 1028.85 1 in 38
Mexico 6269.50 646.26 1 in 160
France 10933.48 486.65 1 in 91
South Africa 12135.97 309.36 1 in 82
United Kingdom 8705.45 643.72 1 in 115
Iran 6066.76 346.21 1 in 165
Chile 26469.20 732.41 1 in 38
Iraq 10394.04 254.38 1 in 96
Bangladesh NA NA 1 in NA
Italy 5684.03 597.07 1 in 176
Saudi Arabia 10277.44 151.67 1 in 97
Philippines 3191.33 58.65 1 in 313
Turkey 4113.13 107.93 1 in 243

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
Los Angeles California 279909 6741 2.41
Miami-Dade Florida 174112 3409 1.96
Cook Illinois 152387 5289 3.47
Harris Texas 150176 2668 1.78
Maricopa Arizona 145298 3458 2.38
Dallas Texas 85637 1165 1.36
Broward Florida 78795 1455 1.85
Queens New York 73889 7276 9.85
Kings New York 71199 7347 10.32
Clark Nevada 70730 1438 2.03
Riverside California 61824 1256 2.03
Bexar Texas 59514 1356 2.28
San Bernardino California 57517 984 1.71
Orange California 55345 1316 2.38
Tarrant Texas 54152 757 1.40
Bronx New York 53691 4966 9.25
San Diego California 49823 821 1.65
Nassau New York 47736 2204 4.62
Palm Beach Florida 47648 1425 2.99
Suffolk New York 47285 2016 4.26
Hillsborough Florida 43808 691 1.58
Orange Florida 41822 502 1.20
Westchester New York 38771 1460 3.77
Philadelphia Pennsylvania 38767 1830 4.72
Wayne Michigan 36661 3004 8.19
Salt Lake Utah 35952 274 0.76
New York New York 34217 3182 9.30
Hidalgo Texas 33352 1841 5.52
Kern California 32741 387 1.18
Shelby Tennessee 32447 529 1.63
Duval Florida 31669 474 1.50
Milwaukee Wisconsin 31647 548 1.73
Prince George’s Maryland 30502 833 2.73
Travis Texas 30165 441 1.46
Mecklenburg North Carolina 30088 365 1.21
Hennepin Minnesota 29661 951 3.21
Fresno California 29111 406 1.39
Franklin Ohio 28841 635 2.20
Fulton Georgia 28834 588 2.04
Middlesex Massachusetts 28796 2182 7.58
Gwinnett Georgia 28593 422 1.48
Davidson Tennessee 27964 321 1.15
El Paso Texas 27394 549 2.00
Pima Arizona 26287 630 2.40
St. Louis Missouri 25937 835 3.22
Suffolk Massachusetts 25382 1144 4.51
King Washington 23712 784 3.31
Sacramento California 23523 447 1.90
Montgomery Maryland 23403 854 3.65
Cameron Texas 23147 1037 4.48
Bergen New Jersey 23031 2051 8.91
Pinellas Florida 22910 780 3.40
Marion Indiana 22867 771 3.37
Utah Utah 22422 66 0.29
Santa Clara California 22312 357 1.60
Alameda California 21942 440 2.01
Fairfax Virginia 21736 598 2.75
Oakland Michigan 21730 1215 5.59
Essex New Jersey 21608 2128 9.85
Lee Florida 21175 481 2.27
Jefferson Alabama 21162 361 1.71
Hudson New Jersey 21079 1518 7.20
Essex Massachusetts 20945 1307 6.24
Polk Florida 20929 552 2.64
San Joaquin California 20828 473 2.27
Nueces Texas 20783 425 2.04
Fairfield Connecticut 20752 1426 6.87
Cobb Georgia 20367 437 2.15
Middlesex New Jersey 20226 1431 7.08
Oklahoma Oklahoma 19985 200 1.00
Providence Rhode Island 19636 0 0.00
DeKalb Georgia 19571 378 1.93
Passaic New Jersey 19484 1255 6.44
DuPage Illinois 18985 579 3.05
Wake North Carolina 18884 258 1.37
Tulsa Oklahoma 18812 176 0.94
Baltimore Maryland 18792 642 3.42
Cuyahoga Ohio 18299 667 3.65
Union New Jersey 18109 1360 7.51
Lake Illinois 18034 495 2.74
Jefferson Louisiana 17960 575 3.20
Douglas Nebraska 17736 198 1.12
Jefferson Kentucky 17565 320 1.82
Contra Costa California 17478 227 1.30
Stanislaus California 16950 383 2.26
Polk Iowa 16933 276 1.63
Fort Bend Texas 16797 295 1.76
Tulare California 16718 269 1.61
Rockland New York 16599 679 4.09
Baltimore City Maryland 16354 491 3.00
Richmond New York 16324 1088 6.67
Charleston South Carolina 16178 269 1.66
Richland South Carolina 16017 253 1.58
Collin Texas 16006 162 1.01
District of Columbia District of Columbia 15843 634 4.00
Macomb Michigan 15755 1040 6.60
Out of GA Georgia 15706 170 1.08
Hartford Connecticut 15520 1442 9.29
East Baton Rouge Louisiana 15446 446 2.89
Greenville South Carolina 15395 323 2.10

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc